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Qwen2 0.5B Lora No Ff Aws by jtromero

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Qwen2 0.5B Lora No Ff Aws is an open-source language model by jtromero. Features: 0.5b LLM, VRAM: 1GB, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2407.10671   Autotrain compatible   Conversational   En   Endpoints compatible   Lora   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jtromero/qwen2-0.5b-lora-no-ff-aws 

Qwen2 0.5B Lora No Ff Aws Benchmarks

LLME Score: 0.1915
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 0.5B Lora No Ff Aws (jtromero/qwen2-0.5b-lora-no-ff-aws)
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Qwen2 0.5B Lora No Ff Aws Parameters and Internals

LLM NameQwen2 0.5B Lora No Ff Aws
Repository 🤗https://huggingface.co/jtromero/qwen2-0.5b-lora-no-ff-aws 
Model Size0.5b
Required VRAM1 GB
Updated2025-09-23
Maintainerjtromero
Model Files  0.0 GB   0.0 GB   1.0 GB: 1-of-1
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length131072
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|k_proj|o_proj|gate_proj|down_proj|up_proj
LoRA Alpha32
LoRA Dropout0
R Param16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than jtromero/qwen2-0.5b-lora-no-ff-aws.

Rank the Qwen2 0.5B Lora No Ff Aws Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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